Metrics

From
Modeling Students’ Procrastination Using Gaussian – Bernoulli Mixed Naïve Bayes Method by Shara M. Baylin and Laila S. Lomibao Journal of Innovations in Teaching and Learning. 2024, 4(1), 7-12 doi:10.12691/jitl-4-1-2
Views
2419
Html 2419
Abstract 0
26 January 2024 (publication date) through 25 May 2025 *
43.20 % of article views led to PDF downloads *
*Although we update our data on a daily basis, there may be a 48-hour delay before the most recent numbers are available.
Downloads: 2163
PDF1045
Epub569
XML282
PPT0
Figures172
Tables95
Export: 766
RIS216
BibTex292
Endnote258
RIS, BibTex, EndNote allows users to search, retrieve and store citations from bibliographic databases such as ABI Inform, the Web of Science, Anthropological Literature, the MLA bibliography, or the catalogs of individual libraries.
Area Chart Example: If your want to see the details of daily statistics for this article, please click here to login our Manuscript Tracking System.
Citations
0
Found additional citations for the article? Please contact us at submission@sciepub.com.
Shares & bookmarks
Facebook0
Twitter0
LinkedIn0
Google +0
Found additional shares or bookmarks for the article? Please contact us at submission@sciepub.com